Streaming, aka real-time / unbounded data processing, is one of these new paradigms. Many organizations have adopted it already, others have it in their radar, and almost every prediction for 2017 ...

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources ...

Business is moving faster than ever. Customers expect instant updates. Supply chains shift by the minute. Competitors launch and adapt in real time. Yet many companies still operate on delayed cycles.

This is known as a "streaming first" data architecture, where the first problem to solve is obtaining real-time data feeds. ... Busting The Myth That Real-Time Data Is Prohibitively Expensive.

Another stream processing vendor to keep an eye on is RisingWave Labs.The company, which builds a distributed SQL streaming database, recently launched a fully managed version of its product. Dubbed ...

Batch Processing vs. Data Streaming. When creating a streaming solution and infrastructure, you must understand that traditional technology solutions will not work. A modern data architecture is ...

Bain says in-memory data grids are particularly well suited for streaming data processing, because of their ability to not only ingest data fast, but also analyze them on the fly.

Striim Cloud delivers a new managed service offering real-time data streaming and integration in a unified cloud solution for Google Cloud enterprise customers to power next-generation business ...

Confluent, the data streaming pioneer, has announced Data Streaming for AI, an initiative to accelerate organisations’ development of real-time AI applications.

As IoT deployments scale, your company's ability to analyze data as you collect it will become an increasingly important competitive advantage. Here's what you need to know about real-time data ...